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Question 4
The managers of a retail giant are preparing revenue plans for the period from October 2013 to March 2014. The data given below represents the amounts (in $m) of one of their main products.
Apr-Jun
Jul-Sep
Oct-Dec
Jan-Mar
2009/10
49
37
58
67
2010/11
50
38
59
68
2011/12
51
40
60
70
2012/13
42
-
Use the moving-average method to make seasonally-adjusted trend estimates for the third and fourth quarters of 2013 and the first two quarters of 2014. Assume that the cyclical and irregular forces have minimal influence on the time series. (Show details of all your calculations.)
Solve the inequality for t . Simplify your answer as much as possible.
In a BMT class test the scores of 8 students are: 11; 10; 6; 3; 11; 10; 9; 11. Assume the sores are a simple random sample from a normally distributed population. What is the point estimate of the standard deviation?
Suppose each employee in the company receives a $3000 raise for next year (each employee's salary is increased by $3000). The interquartile range of the salaries will
Construct a 95 percent confidence interval for the population proportion of positive drug tests. May you assume that this is a normal distribution? Explain why.
The table shows the retail market share of passenger cars from Ford Motor Company as a percent of the US market.
Assume that the result is a sample size beyond what you can obtain. Use the compromise function to compute alpha and beta for a sample approximately half the size.
What item/s can be deleted to improve reliability, what items should never be deleted to maintain reliability of data and how many items need to be deleted to achieve maximum reliability
If there is a +.20 correlation between SAT scores and high school GPA, SAT scores account for what % of the fluctuation in GPA?
What is the probability you will have 20 or less flights that are late? What is the probability you will have more than 100 on time?
What percentage of the variation in y can be explained by the corresponding variation in x and the least-squares line? What percentage is unexplained?
A box contains ten fuses of which 3 are defective. Two fuses are selected at random from the box without replacement. What is the probability that exactly one of the fuses selected is defective?
You buy a new piece of equipment for $11,778 and you receive a cash inflow of 2,000 per year for 10years. What is the internal rate of return?
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